In the previous unit, we learned about list comprehension. Now let's explore three more data structures: ranges, sets, and tuples. Each has different properties that make it useful in specific situations.

In the previous unit, we learned how to create and manipulate lists. Now let's look at list comprehension, a concise way to generate lists in a single line.

In the previous unit, we explored string operations. Now let's look at lists, Python's way of storing multiple values in a single variable.

In the previous unit, we explored Python's built-in functions. Now let's look at strings, one of the most common data types you'll work with.

In the previous unit, we made our Turtle programs interactive with keyboard and mouse events. Now let's explore Python's built-in functions, tools that are always available without importing anything.

In the previous unit, we covered lambda functions. Now let's make our Turtle programs interactive. Events let your program respond to user input like key presses and mouse clicks.

In the previous unit, we defined functions with def. Python has another way to create functions: the lambda keyword. Lambda functions are small, anonymous functions that you can define in a single line.

In the previous unit, we used loops to repeat code. But what if you want to reuse the same block of code in different places? That's what functions are for. They let you define a block of code once and call it whenever you need it.

In the previous unit, we covered pattern matching with match-case. Now let's look at loops, which let you repeat code without writing it multiple times.

In the previous unit, we used if, elif, and else to make decisions. Python 3.10 introduced a cleaner alternative for certain situations: the match-case statement. It's particularly useful when you're comparing one value against several possibilities.